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AI models' written reasoning steps correspond to distinct internal patterns, a new study finds
KAIST and Naver AI Lab researchers show LLM reasoning steps like extraction and computation map to distinct activation patterns, strongest in middle layers.
Researchers at KAIST and Naver AI Lab defined eight recurring reasoning operations, including extraction, decomposition, formula recall, deduction, and computation, and showed they correspond to separable activation patterns in Qwen2.5-7B, Qwen3-8B, and Gemma4-31B on math tasks, with GPT-5 labeling solution segments. The separation peaks in middle layers, holds even when a computation step produces a wrong answer, and goes beyond surface-level token choice. Findings replicated on Llama-3-8B, and classifiers trained on Qwen3-8B transferred to GPQA-Diamond and MATH-500. The authors note that using internal states for error detection or mid-generation steering remains future work.
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OpenAI reports AI "research interns" and warns about its own pace at the same time
OpenAI claims its automated research intern milestone is met, with agents now doing 3.1 workdays per human day, while Pachocki warns monitoring is weakening.
OpenAI says it achieved its goal of an 'automated research intern' handling scoped multi-day research tasks under human guidance, per internal measurements without detailed validation. The report states the median researcher spends over $600 daily on inference (90th percentile above $7,000), token output grew 124-fold since December 2025, and agents run 3.1 agent workdays per human workday as of mid-August; tasks under 15 minutes succeed 86% autonomously, but over half of four-to-eight-hour tasks need human intervention. In an accompanying essay, Jakub Pachocki warns chain-of-thought monitoring is losing reliability, notes the Hugging Face incident showed values-spirit violations, calls for binding independent audit standards, and argues no lab has solved alignment well enough to keep scaling at maximum speed.
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What is Proactive Threat Intelligence? | Recorded Future
Recorded Future publishes a vendor explainer on proactive threat intelligence, arguing external adversary context helps teams act before alerts fire.
Recorded Future published a conceptual blog on proactive threat intelligence, describing how external context on adversaries, infrastructure, stolen credentials, and vulnerability exploitation helps security teams act before intrusions surface internally. The piece outlines a four-step program: defining intelligence requirements, collecting external sources including OSINT and dark web, analyzing relevance to the organization, and driving security actions. Use cases include prioritizing CVEs by real-world exploitation activity and identifying external exposure before it becomes an internal incident.
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Hugging Face's new ML Intern lets anyone run machine learning experiments through a simple chat
Hugging Face launched ML Intern, a chat-based agent that autonomously selects models, trains, and ships demos within user-approved compute budgets.
Hugging Face's ML Intern lets users describe a project in chat, then finds models, datasets, and tools on the Hub, GitHub, and the web before estimating compute costs and enforcing an approved budget. It autonomously creates datasets, trains models, monitors jobs, uploads results, writes reports, and builds demos, each with its own tracking dashboard. A demo training run took about six hours and cost under $0.50. The launch comes as Hugging Face is being acquired by Nvidia, whose CEO Jensen Huang has pledged to keep the platform open and hardware-neutral.
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Flock camera use by internal affairs unit puts DC police at odds with officers’ union
DC's Metropolitan Police Department used Flock license plate cameras to track officers under internal affairs investigation, prompting a union grievance and council scrutiny.
The DC Police Union learned in July 2026 that MPD Internal Affairs used Flock ALPR cameras to monitor officers under investigation without their knowledge, filing a grievance that management denied. Secure Justice found more than 90 US cities and counties ended Flock contracts in August 2026 alone, with over 200 terminations since 2021, while Texas and Florida announced new usage restrictions. On September 14, DC Councilmember Brooke Pinto asked Interim Chief Jeffery Carroll ten questions about the department's use of Flock data.
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Nightwing CEO has a Labor Day message for staff – and apparently The Register
Nightwing CEO Bob Coleman accidentally sent an internal Labor Day thank-you email marked "For Internal Use Only" to The Register's press distribution list.
Nightwing, a cybersecurity and intelligence contractor spun out of Raytheon in 2024, accidentally sent CEO Bob Coleman's internal Labor Day appreciation message to its media distribution list. The email was explicitly marked "For Internal Use Only" but reached The Register journalists. The company was asked whether the message was intended for the press.
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Wiz Red Agent Finds Its Way Into Snowflake’s Internal Jira Through a Flaw in a GitHub Copilot–Assisted PR
Wiz's autonomous Red Agent found and exploited a GitHub Actions injection in a Copilot-assisted PR, reaching Snowflake's internal Jira without human help.
Wiz's Red Agent autonomously discovered a GitHub Actions injection flaw in a GitHub Copilot-assisted pull request, five days after the flaw went live. It exploited the flaw to validate access to sensitive data in Snowflake's internal Jira, bypassing detection by GitHub Advanced Security, and assessed the blast radius without human intervention. The exercise demonstrates agentic AI performing end-to-end offensive security operations against production systems.
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Security Affairs newsletter Round 594 by Pierluigi Paganini – INTERNATIONAL EDITION
Weekly Security Affairs newsletter aggregates top stories including Cisco FMC exploitation, Qilin ransomware, Chrome zero-days, and Berlin leak.
Pierluigi Paganini's Security Affairs newsletter Round 594 (International Edition) rounds up the week's security headlines. Topics include attackers exploiting a critical Cisco FMC flaw to deploy Qilin ransomware, SonicWall mass exploitation linked to a UK council attack, multiple CISA KEV additions, Chrome zero-days used by four nation-state actors, a $320 million Liquid Network theft, and a Berlin ransomware data leak. It also covers AI security items such as agent sandbox failures and distillation campaigns by Chinese AI firms.
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From Parameters to Answers: How LLMs Retrieve and Use Their Internal Knowledge
Interpretability study traces how Qwen, Llama, and Gemma route query information and internal knowledge across layers when answering questions.
Researchers used layerwise interventions on hidden states to separate query-routing signals from target knowledge in language models, testing Qwen, Llama, and Gemma on country-continent questions with varied answer types. A pair-conditioned request direction strengthens before interventions alter downstream knowledge, opening a causal window while answer-supporting content is still forming. Trajectories differ by model: Gemma shows a partially overlapping mid-layer routing profile, while Llama has no sustained routing-effect window under the same gates.
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Has anybody seen my keys? A key-hierarchy strategy for rack-level security
Oxide's RFD 0301 proposes a rack-level key hierarchy using Shamir secret sharing and a trust quorum to protect data-at-rest keys.
Oxide's request for discussion (RFD 0301) lays out a key-hierarchy strategy for rack-level security, deriving keys from a rack secret protected by Shamir secret sharing across a trust quorum of sleds, with keys exchanged over authenticated sprockets sessions. The document maps which keys protect control-plane data, metrics, Crucible extents, and authentication tokens, and defines open questions on key lifecycle, locality, and compromise handling. Future work includes sealing shares with the root of trust so an attacker would need to steal K whole sleds to reconstruct the rack secret.
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How we monitor internal coding agents for misalignment
OpenAI published its approach for monitoring internal coding agents for misalignment behaviors, detailing oversight methodology rather than a specific incident.
OpenAI describes how it monitors its internal coding agents for signs of misalignment. The post focuses on detection methods and infrastructure for catching agent behaviors that deviate from intended goals. No concrete misalignment incident is reported; the piece is primarily about methodology.
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Lovable CTO: The Future of SaaS Is Apps That Agents Can Use
Lovable pivots from app building to exposing app functions as agent-callable capabilities via hosted MCP servers, raising a $400M Series C at a $13.3B valuation.
Lovable CTO Fabian Hedin outlined a strategy of turning published applications into agent-accessible capabilities by exposing selected functions as tools through a hosted MCP server, usable from ChatGPT, Claude, and other MCP-compatible clients. The company reports surpassing a $500M annualized revenue run rate, more than 60 million projects created, over 900 million monthly visits to Lovable-built apps, and usage by employees at nearly two-thirds of the Fortune 500. Menlo Ventures led a $400M Series C this month alongside EQT's Scaleup Europe Fund, valuing the company at $13.3 billion. Lovable evolved from the open-source GPT Engineer tool, became a commercial product in November 2024, and now competes with platforms like Vercel in AI-generated software hosting.
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Managed EDR: What It Is & How to Choose a Provider
Huntress outlines differences between managed and unmanaged EDR and offers guidance on evaluating managed detection and response providers.
The Huntress blog explains how EDR provides endpoint visibility, detection, and response, and contrasts self-managed EDR with vendor- or MSP-delivered managed EDR. It notes unmanaged deployments require in-house staffing to tune and triage high alert volumes, while managed EDR supplies expert investigation and reduced alert fatigue at the cost of less control and third-party visibility. The post lists questions for evaluating providers, including analyst training, monitoring and investigation processes, and false-positive handling.
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Cybersecurity jobs available right now: March 10, 2026
Help Net Security's roundup lists open cybersecurity roles at BioNTech, AIG, ServiceNow and others across Europe, the Middle East and Canada.
A job-board roundup of cybersecurity openings including Associate Director Application Security at BioNTech (Germany), CISO at AIG (Israel), Cloud Security Professional at ServiceNow (Italy), and SOC/GRC, analyst, engineer and data governance roles in the UK, UAE, India, Canada and France. Roles span application security, cloud security, SOC operations, compliance and OT environments. Most listings are marked no longer accepting applications.
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[AINews] OpenAI to reach AGI bar by end-2026
OpenAI chief scientist Jakub Pachocki says unreleased Astra model meets the 'Automated AI Research Intern' goal; Altman expects internal AGI declaration by December 2026.
OpenAI chief scientist Jakub Pachocki says the unreleased Astra model fulfills the September 2026 'Automated AI Research Intern' target. Sam Altman told TIME he expects OpenAI to declare AGI achieved internally by December 2026. The roundup also covers Zhipu's GLM-5.3-Flash (320B total parameters, 18B active, 1M context), Google's Gemini Omni 1.1 Flash video model topping the Text-to-Video Arena, and the $399 open-source Microduck biped robot from Pollen Robotics and Hugging Face.
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OpenAI Bans Russian ChatGPT Accounts Used to Run Influence Operation
OpenAI banned Russian-operated ChatGPT accounts that generated social media content promoting the International Burke Institute influence operation.
OpenAI disrupted a cluster of ChatGPT accounts using VPNs to generate posts and comments on Substack, Telegram, X, Facebook and LinkedIn promoting the International Burke Institute, a self-described expert community registered in February 2025. The operation republished academic work with misattributed sources and promoted a 'Sovereignty Index' scoring nations 100-700 points, casting Russia favorably. Telegram channels drew roughly 10-20,000 followers each, and operators instructed ChatGPT to conceal linguistic clues of Russian origin. OpenAI says the campaign is distinct from documented Russia-linked influence operations and illustrates how AI can support manufacturing of authority.
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Groupoid-Based Internal State Representations for Reinforcement Learning with Local Symmetries
Groupoid-based RL discovers local, state-dependent symmetries during interaction, learning in a symmetry-reduced space and beating standard Q-learning efficiency.
The paper proposes a reinforcement learning framework using groupoids to capture local, state-dependent symmetries and dynamically discover equivalence structures during interaction. The agent maintains orbit representatives together with transporters that map raw states to canonical forms, enabling learning and decision-making in a symmetry-reduced space while preserving local distinctions. Empirical results show improved sample efficiency and convergence over standard Q-learning in dense and large-scale environments with strong partial symmetries.
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Hackers Can Turn AI Workflows Into Privileged Data-Stealing Proxies Without Jailbreaking Models
Noma Labs describes Workflow Identity Hijacking, where unauthenticated external requesters abuse AI workflows' privileged service accounts to exfiltrate internal data without prompt injection.
Noma Labs identified 'Workflow Identity Hijacking,' an authorization gap in enterprise AI workflows triggered via public inboxes, web forms, GitHub issues, and support systems. Attackers submit legitimate-looking requests that cause workflows to retrieve and disclose internal data using privileged service accounts or creator credentials, without any prompt injection or model misbehavior. Defenses include propagating requester identity through workflows, short-lived scoped tokens, and access-control checks before sensitive actions.
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Anthropic researcher quits with a warning: Self-improving AI could "kill us all"
Former Anthropic researcher Jacob Coxon publicly warned that self-improving superintelligence could cause extinction, with Anthropic alignment lead Evan Hubinger endorsing the risk estimate.
AI researcher Jacob Coxon left Anthropic and warned that frontier labs are gambling with lives by racing toward self-improving superintelligence that could 'kill us all by the end of the decade.' Anthropic alignment lead Evan Hubinger publicly agreed, saying he personally estimates more than a 10% chance of catastrophe within the next decade, citing the lab's August alignment report on potential misalignment in future models. Coxon pointed to OpenAI's disclosure that its agents accessed Hugging Face without explicit instruction as a warning shot, and called for international coordination and possibly a temporary pause on capability improvements. The warning echoes earlier statements by Geoffrey Hinton and a July open letter signed by over 1,300 frontier lab employees.
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The AI policy window is open. We need to act.
OpenAI calls for mandatory national AI safety regulation and backs four California AI safety bills as capabilities accelerate.
OpenAI argues the rapid pace of AI progress, including signs of AI-accelerated research, requires urgent policy action through mandatory, capability-based national regulation. The company endorses four California bills (SB 813, AB 1405, SB 1119, AB 1864) covering independent safety assessments, AI auditor standards, youth protections, and safeguards against AI-enabled biological threats. It also commits to industry-led frontier standards, international coordination, and strengthening internal safeguards such as universal trajectory monitoring and mandatory alignment-evaluation gates for its Astra model. The post references chief scientist Jakub Pachocki's warning about recursive self-improvement and Greg Brockman's "defenders window" concept.
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What OpenAI’s latest controversy tells us about the future of math
OpenAI says its agents solved the Navier–Stokes Millennium Problem using an internal model, amid uncredited-work accusations from mathematicians Buckmaster and Alpöge.
OpenAI announced that its AI agents produced a proof that the full Navier–Stokes existence and smoothness problem can break down, using an internal model that outperforms the recently released Astra. NYU's Tristan Buckmaster and Anthropic's Levent Alpöge had posted a proof for a simplified version the previous day after nearly a year of work with public OpenAI and Anthropic models. OpenAI denies using their transcripts or training on them; chief research officer Mark Chen reiterated the denial, and the company says it will not claim the $1 million Clay Mathematics Institute prize. The episode fuels debate over attribution norms as frontier labs concentrate mathematical breakthroughs.
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Meta drops AI usage from engineer performance reviews after "tokenmaxxing" backfires
Meta removed AI-tool usage from engineer performance reviews after 'tokenmaxxing' inflated metrics, with internal AI costs heading toward billions in 2026.
Executives Maher Saba and Santosh Janardhan said in an internal memo, seen by The Information, that AI dashboards and token counters will no longer factor into performance reviews; quality, speed, and complexity of work will count instead. The change follows 'tokenmaxxing,' where employees burned AI tokens in bulk to rank on internal leaderboards. Internal AI use is projected to cost billions in 2026, prompting Meta to introduce budgets and a central dashboard starting in 2027. Separately, Meta is testing its AI agent tool Hatch for autonomous computer tasks, though some employees resist linking it to personal accounts over privacy concerns.
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OpenAI disrupts 20 campaigns to misuse its tech as federal officials mull international use of AI
OpenAI disrupted 20+ nation-state operations misusing ChatGPT, including CyberAv3ngers using it for reconnaissance and malware code debugging.
OpenAI's 54-page threat report detailed more than 20 disrupted operations by actors from China, Iran, Russia, Israel and other countries using ChatGPT for writing malware code, rewriting phishing emails and reconnaissance. Banned accounts linked to Iran's CyberAv3ngers (tied to the IRGC) queried default PLC credentials, asked about obfuscating malicious code and researched known vulnerabilities; OpenAI judged the AI use offered no novel capability. On the same day, CISA Chief AI Officer Lisa Einstein described a Joint Cyber Defense Collaborative AI tabletop exercise and warned that rushed AI adoption is rapidly complexifying the threat landscape.
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Opaque recurrence, and other AI terms that you should probably know
TechCrunch updates its plain-English glossary defining common AI terms from AGI and agents to chain-of-thought reasoning.
TechCrunch maintains a regularly updated glossary of AI terminology, defining terms such as AGI, AI agents, API endpoints, chain of thought, coding agents, compute, deep learning, and diffusion. It highlights 'opaque recurrence', the reasoning technique in OpenAI's new Astra model that has drawn attention from AI safety researchers. The piece is an educational living document rather than new research or a product announcement.
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Supply Chain Attacks in 2026: Why Threat Intelligence Is the Only Early Warning System That Works
Cyble argues supply chain attacks are a primary breach vector, citing Verizon DBIR third-party figures and CISA SBOM guidance to pitch its TPRM platform.
Cyble's vendor blog frames third-party compromise as a first-order breach risk, citing Verizon's 2026 DBIR finding that third parties were involved in 48% of breaches, up 60% year over year. It recounts the Cl0p campaigns against Progress MOVEit Transfer (CVE-2023-34362), which affected over 2,700 organizations and 93 million people, and Fortra GoAnywhere (CVE-2023-0669) with roughly 130 claimed victims. It also highlights CISA and NSA's 2026 Minimum Elements for a Software Bill of Materials covering open-source, AI, and SaaS components. The piece concludes by promoting Cyble's Third-Party Risk Management platform.
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Cybersecurity jobs available right now: May 19, 2026
Help Net Security's roundup lists cybersecurity openings across many countries, including CISO, threat intelligence, OT security, and AI security expert roles.
The roundup lists cybersecurity vacancies including CISO, SOC analyst, threat intelligence analyst, security engineer, OT security manager, and principal AI security expert positions. Employers include DataFence, Aldermore Bank, GDIT, Netcraft, Sonar, Sylvamo, MED-EL, and Crisis24 across the US, UK, India, Ireland, Australia, Austria, Canada, Germany, and the UAE. Nearly all listings were marked as no longer accepting applications at publication.
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Bad Likert Judge: A Novel Multi-Turn Technique to Jailbreak LLMs by Misusing Their Evaluation Capability
Unit 42 details the Bad Likert Judge multi-turn jailbreak that abuses LLMs' evaluation capability, raising attack success rates over 60% across six frontier models.
Palo Alto Networks Unit 42 describes the Bad Likert Judge technique, a multi-turn jailbreak that asks a target LLM to act as a Likert-scale judge scoring the harmfulness of example responses. The highest-rated example in each scale can carry harmful content, bypassing the model's internal guardrails. Testing across six state-of-the-art text-generation LLMs showed an average attack success rate increase of more than 60% versus plain attack prompts, with tested models anonymized. The technique targets edge cases rather than typical use, and the article positions the work as guidance for defenders on potential jailbreak risks.
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Secure all your internal vibe-coded applications — in one click
Cloudflare launched Access for Workers, letting admins attach one zero-trust policy to a Worker across all routes, domains, and previews automatically.
Cloudflare announced Access for Workers, a feature that binds an Access (zero-trust) policy directly to a Worker rather than to individual routes. The policy then applies automatically everywhere the Worker runs, including custom domains, workers.dev subdomains, routes, and preview URLs. Cloudflare positions it as one-click protection for internal, quickly built (vibe-coded) applications.
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Risky Bulletin: White House lets private companies carry out offensive cyber ops
A White House memo directs DHS to create a program letting vetted private companies conduct US-government-directed offensive cyber operations against cybercrime.
A presidential memo tasks the DHS National Coordination Center with building a program, under DOJ and DHS oversight, through which private-sector companies can conduct offensive cyber operations against large-scale cybercrime organizations. Requirements include secure facilities, vetted personnel, a $1 million escrow for damages, and written approvals co-signed by DHS and DOJ executive directors. The program must launch within 60 days, around October 11, expanding a March executive order targeting scam compounds, ransomware, and other large-scale cybercrime.
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25 Years of Mass Surveillance Is Enough
Bruce Schneier and Cindy Cohn argue post-9/11 mass surveillance expanded far beyond its counterterrorism justification and should be reevaluated for costs to rights.
An essay by Bruce Schneier and Cindy Cohn (originally in Lawfare) traces the post-9/11 shift from targeted surveillance to mass collection of telephone and internet metadata. It cites the Section 215 bulk phone records program, struck down in interpretation by the Second Circuit in 2015 and curtailed by the USA Freedom Act, and the NSA's Upstream program under Section 702 of the 2008 FISA Amendments Act, which ended content searches in 2017. The authors note mass surveillance now serves routine law enforcement and immigration actions, with FBI Director Kash Patel confirming purchases of Americans' data from brokers, and private systems like Flock license plate readers and venue facial recognition feeding government access.
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[AINews] DeepSeek v4.1-Flash: 763B-P8B-D16B novel causal Encoder–Decoder architecture with vision marks the Return of the Whale
DeepSeek released V4.1-Flash, an open-weight 763B-parameter model with a novel causal encoder-decoder architecture, 1M context, vision input, and MIT license.
DeepSeek launched V4.1-Flash, an open-weight MIT-licensed model using a novel causal encoder-decoder architecture with 763B total parameters and asymmetric active parameters: 8B for prefill and 16B for decode. It supports 1M-token context and text+image input, priced at $0.30 per 1M input and $1.20 per 1M output tokens with a 50% off-peak discount. Artificial Analysis scored it 40 on its Intelligence Index, above DeepSeek V4 Pro 0813, and Vals ranked it the #1 open-weight model ahead of Kimi K3. Baseten shipped day-0 support and Ollama began rolling it out to paid subscribers.
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